Market Research Future

Smart Roads Market, Key Players, Analysis and Forecast to 2027

Smart Roads Market Information, By Technology (Transportation and Communication Systems, Traffic Management System), by Sensor, by Deployment - Forecast 2016-2027.

 

Pune, India -- (SBWIRE) -- 11/21/2017 -- Market Synopsis of Smart Roads Market:

World is becoming smarter and with the introduction of automated vehicles, risk of uncertainty is also increasing. Smart Road is an option to this problem. Smart roads guide the drivers of any object which is in front of him or he's not able to see. It will signal the vehicle about any possible incident which can occur. These roads are equipped with advance sensors and technological equipment's and help the driver to travel without any worries. Currently smart road market has been valued at US million and growing with the good CAGR As the technology is growing and government is taking part for making their roads more safer, it is expected that smart market will reach the market size of billion by the end of forecasted period.

Major Key Players:

Alcatel Lucent (France)
Kapsch AG (Austria)
Indra Sistemas, S.A. (Madrid)
LG CNS (South Korea)
Siemens AG (Germany)
Cisco (U.S.)
Kapsch TrafficCom (Austria)
Xerox Corporation (U.S.)
Huawei (China)

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Study Objective of Smart Roads Market:

To provide detailed analysis of the market structure along with forecast of the various segments and sub-segments of the Global Smart Roads Market.

To provide insights about factors affecting the market growth.

To analyze the Smart Roads market based on various factors- price analysis, supply chain analysis, porter's five force analysis etc.

To provide historical and forecast revenue of the market segments and sub-segments with respect to four main geographies and their countries- North America, Europe, Asia, and Rest of the World (ROW).

To provide country level analysis of the market with respect to the current market size and future prospective.

To provide country level analysis of the market for segment by technology, by sensors, by deployment and sub-segments.

To provide strategic profiling of key players in the market, comprehensively analyzing their core competencies, and drawing a competitive landscape for the market.

To track and analyze competitive developments such as joint ventures, strategic alliances, mergers and acquisitions, new product developments, and research and developments in the Global Smart Roads Market.

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Market Segmentation:

Segmentation Technology: Transportation and communication systems (ANPR- Automatic Number Plate Recognition, Lane warning/keeping systems, Wireless Radio Communication), Traffic Management System (GPS and Advanced Traffic Management System)

Segmentation by Sensor: Anemometers, strain gauges, accelerometers, weigh-in-motion devices, temperature sensors among others.

Segmentation by Deployment: On-Premise & On-Cloud.

Industry News:

In May 2016, Huawei announced the collaboration with Dubai Police to make the road safer with the help of advance technology.

In April 2016, Kapsch TrafficCom announced the acquisition of Schneider Electric's Transportation Business which is a provider of real time IT solutions and one of the best intelligent transportation systems.

In October 2016, Siemens AG announced the collaboration with Cohda Wireless to work together on smart road project.

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The report for Global Smart Roads Market of Market Research Future comprises of extensive primary research along with the detailed analysis of qualitative as well as quantitative aspects by various industry experts, key opinion leaders to gain the deeper insight of the market and industry performance. The report gives the clear picture of current market scenario which includes historical and projected market size in terms of value and volume, technological advancement, macro economical and governing factors in the market. The report provides details information and strategies of the top key players in the industry. The report also gives a broad study of the different market segments and regions.

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